





import os
import sys
import unittest


lowerCAmelCase_        =							os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, '''utils'''))

import check_dummies  # noqa: E402
from check_dummies import create_dummy_files, create_dummy_object, find_backend, read_init  # noqa: E402


# Align TRANSFORMERS_PATH in check_dummies with the current path
lowerCAmelCase_        =							os.path.join(git_repo_path, '''src''', '''transformers''')

lowerCAmelCase_        =							'''
{0} = None
'''

lowerCAmelCase_        =							'''
class {0}(metaclass=DummyObject):
    _backends = {1}

    def __init__(self, *args, **kwargs):
        requires_backends(self, {1})
'''


lowerCAmelCase_        =							'''
def {0}(*args, **kwargs):
    requires_backends({0}, {1})
'''



class    __lowerCAmelCase			(     unittest.TestCase	):






			def      lowerCamelCase    (self       )	->  int:


							'''simple docstring'''



							snake_case_		:       List[str]           =    find_backend('''    _import_structure["models.albert"].append("AlbertTokenizerFast")'''       )
							self.assertIsNone(__magic_name__       )

							snake_case_		:       Optional[Any]           =    find_backend('''    if not is_tokenizers_available():'''       )
							self.assertEqual(__magic_name__   ,				'''tokenizers'''       )

							snake_case_		:       Dict           =    find_backend('''    if not is_tensorflow_text_available():'''       )
							self.assertEqual(__magic_name__   ,				'''tensorflow_text'''       )

							snake_case_		:       str           =    find_backend('''    if not (is_sentencepiece_available() and is_tokenizers_available()):'''       )
							self.assertEqual(__magic_name__   ,				'''sentencepiece_and_tokenizers'''       )

							snake_case_		:       Tuple           =    find_backend(
							    '''    if not (is_sentencepiece_available() and is_tensorflow_text_available()):'''       )
							self.assertEqual(__magic_name__   ,				'''sentencepiece_and_tensorflow_text'''       )

							snake_case_		:       Tuple           =    find_backend(
							    '''    if not (is_sentencepiece_available() and is_tokenizers_available() and is_vision_available()):'''       )
							self.assertEqual(__magic_name__   ,				'''sentencepiece_and_tokenizers_and_vision'''       )






			def      lowerCamelCase    (self       )	->  Optional[int]:


							'''simple docstring'''



							snake_case_		:       int           =    read_init()
							# We don't assert on the exact list of keys to allow for smooth grow of backend-specific objects
							self.assertIn('''torch'''   ,				__magic_name__       )
							self.assertIn('''tensorflow_text'''   ,				__magic_name__       )
							self.assertIn('''sentencepiece_and_tokenizers'''   ,				__magic_name__       )

							# Likewise, we can't assert on the exact content of a key
							self.assertIn('''BertModel'''   ,				objects['''torch''']       )
							self.assertIn('''TFBertModel'''   ,				objects['''tf''']       )
							self.assertIn('''FlaxBertModel'''   ,				objects['''flax''']       )
							self.assertIn('''BertModel'''   ,				objects['''torch''']       )
							self.assertIn('''TFBertTokenizer'''   ,				objects['''tensorflow_text''']       )
							self.assertIn('''convert_slow_tokenizer'''   ,				objects['''sentencepiece_and_tokenizers''']       )






			def      lowerCamelCase    (self       )	->  List[str]:


							'''simple docstring'''



							snake_case_		:       Union[str, Any]           =    create_dummy_object('''CONSTANT'''   ,				'''\'torch\''''       )
							self.assertEqual(__magic_name__   ,				'''\nCONSTANT = None\n'''       )

							snake_case_		:       Tuple           =    create_dummy_object('''function'''   ,				'''\'torch\''''       )
							self.assertEqual(
							    __magic_name__   ,				'''\ndef function(*args, **kwargs):\n    requires_backends(function, \'torch\')\n'''       )

							snake_case_		:       Union[str, Any]           =    '''
class FakeClass(metaclass=DummyObject):
    _backends = \'torch\'

    def __init__(self, *args, **kwargs):
        requires_backends(self, \'torch\')
'''
							snake_case_		:       Tuple           =    create_dummy_object('''FakeClass'''   ,				'''\'torch\''''       )
							self.assertEqual(__magic_name__   ,				__magic_name__       )






			def      lowerCamelCase    (self       )	->  Dict:


							'''simple docstring'''



							snake_case_		:       int           =    '''# This file is autogenerated by the command `make fix-copies`, do not edit.
from ..utils import DummyObject, requires_backends


CONSTANT = None


def function(*args, **kwargs):
    requires_backends(function, ["torch"])


class FakeClass(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])
'''
							snake_case_		:       List[str]           =    create_dummy_files({'''torch''': ['''CONSTANT''', '''function''', '''FakeClass''']}       )
							self.assertEqual(dummy_files['''torch''']   ,				__magic_name__       )




from unittest.mock import Mock, patch

from file_transfer.send_file import send_file
@patch("socket.socket"	)
@patch("builtins.open"	)
def 							UpperCamelCase_(					_A :Tuple					,  _A :str	)->		int:
			# ===== initialization =====
			UpperCamelCase__       =							Mock()
			UpperCamelCase__       =							conn, Mock()
			UpperCamelCase__       =							iter([1, None]	)
			UpperCamelCase__       =							lambda _A	: next(_A	)

			# ===== invoke =====
			send_file(filename="mytext.txt"					,  testing=_A	)

			# ===== ensurance =====
			sock.assert_called_once()
			sock.return_value.bind.assert_called_once()
			sock.return_value.listen.assert_called_once()
			sock.return_value.accept.assert_called_once()
			conn.recv.assert_called_once()

			file.return_value.__enter__.assert_called_once()
			file.return_value.__enter__.return_value.read.assert_called()

			conn.send.assert_called_once()
			conn.close.assert_called_once()
			sock.return_value.shutdown.assert_called_once()
			sock.return_value.close.assert_called_once()


